Chi-Square Test & Correlation – Statistic Exam
The key terms in these Statistic chapters include Chi-Square Test, Goodness of Fit, Grade Point Average, Sample, Two Tailed Test, Frequencies, Population, ANOVA, Standard Deviation, Null Hypothesis, Correlation, Survey, Repeated-Measures Research Study, Summation Notation. Final Exam is based on these chapters.
A large value for the chi-square statistic indicates
the sample data (observed values) do not fit the null hypothesis
The term expected frequencies refers to
the frequencies computed from the null hypothesis
The term observed frequency refers to
the frequencies found in the sample data
For a linear regression equation, the standard error of estimate is computed using df =
n – 2
A researcher classifies college students as either high or low IQ, then measures each student’s grade point average. For the resulting data, which correlation should be used to measure the relationship between IQ and grade point average?
point-biserial correlation
The purpose for post tests is
to determine which treatments are significantly different
The chi-square test for goodness of fit evaluates
the shape or proportions for a population distribution
A large value for the chi-square statistic indicates
the sample data (observed values) do not fit the null hypothesis
The term expected frequencies refers to
the frequencies computed from the null hypothesis
The term observed frequency refers to
the frequencies found in the sample data
For a linear regression equation, the standard error of estimate is computed using df =
n – 2
A researcher classifies college students as either high or low IQ, then measures each student’s grade point average. For the resulting data, which correlation should be used to measure the relationship between IQ and grade point average?
point-biserial correlation
For a sample of n = 25 individuals, how large a Pearson correlation is necessary to be statistically significant for a two-tailed test with a = .05?
0.374
A researcher uses an anonymous survey to investigate the study habits of American college students. Based on the set of 56 surveys that were completed and returned, the researcher finds that these students spend an average of 4.1 hours each week working on course material outside of class. For this study, the set of 56 students who returned surveys is an example of a(n)
sample
A researcher is interested in the eating behavior of rats and selects a group of 25 rats to be tested in a research study. The group of 25 rats is an example of a ______.
sample
A researcher uses an anonymous survey to investigate the study habits of American college students. Based on the set of 56 surveys that were completed and returned, the researcher finds that these students spend an average of 4.1 hours each week working on course material outside of class. For this study, the average of 4.1 hours is an example of a(n) _______.
Statistic
A college professor reports that students who finish exams early tend to get better grades than students who hold on to exams until the last possible moment. The correlation between exam score and amount of time spent on the exam is an example of ____.
a negative correlation
A two factor analysis of variance produces SS A = 20, SS B = 40 and SS AxB = 90. For this analysis, what is the value for SS between treatments?
150
In a line graph showing the results from a two-factor experiment, the levels of factor B are presented on the X-axis and the line for A1 is consistently 5 points higher than the line for A2. What result is indicated by this pattern?
an indication of an A-effect and an indication of no interaction
In a two-factor ANOVA, which of the following is not computed directly but rather is found by subtraction?
SSAxB
A repeated-measures research study uses n = 6 subjects. If the within-treatment df for the ANOVA is 15, what is the value for dferror?
10
A repeated-measures study uses a sample of n = 5 individuals to evaluate the mean differences among three treatments. The ANOVA for this study has
df within treatments = 12 and df between subjects = 4
The chi-square test for goodness of fit evaluates
the shape or proportions for a population distribution
Chi-Square Test & Correlation – Statistic Exam
A large value for the chi-square statistic indicates
the sample data (observed values) do not fit the null hypothesis
The term expected frequencies refers to
the frequencies computed from the null hypothesis
The term observed frequency refers to
the frequencies found in the sample data
For a linear regression equation, the standard error of estimate is computed using df =
n – 2
A researcher classifies college students as either high or low IQ, then measures each student’s grade point average. For the resulting data, which correlation should be used to measure the relationship between IQ and grade point average?
point-biserial correlation
The purpose for post tests is
to determine which treatments are significantly different